Multi-Point Annotation Using a Haptic Plane

ABSTRACT

During an analysis technique, a three-dimensional (3D) image of a portion of an individual is iteratively transformed to facilitate accurate determination of detailed multi-point annotation of an anatomical structure. In particular, for a given marker point, in response to receiving information specifying a two-dimensional (2D) plane having an angular position in the 3D image, the 3D image is translated and rotated from an initial position and orientation so that the 2D plane is presented in an orientation parallel to a reference 2D plane of a display. Then, after annotation information specifying the detailed annotation in the 2D plane of the given marker point is received, the 3D image is translated and rotated back to the initial position and orientation. These operations may be repeated for one or more other marker points.

CROSS REFERENCE TO RELATED APPLICATION

This application claims priority under 35 U.S.C. 120 as aContinuation-in-Part patent application of U.S. patent application Ser.No. 15/199,701, “Image Annotation Using a Haptic Plane,” filed on Jun.30, 2016, which is a Continuation patent application of U.S. patentapplication Ser. No. 14/120,519, “Image Annotation Using a HapticPlane,” filed on May 28, 2014 (now U.S. Pat. No. 9,384,528), thecontents of both of which are herein incorporated by reference.

This application is related to U.S. patent application Ser. No. ______,“Multi-Point Annotation Using a Haptic Plane,” filed on ______, 2018,the contents of which are herein incorporated by reference.

BACKGROUND Field

The present disclosure generally relates to computer-based techniquesfor annotating a feature in an image. More specifically, the presentdisclosure relates to a computer-based technique for translating androtating a user-specified two-dimensional plane in a three-dimensionalimage so that detailed annotation of an anatomical structure can beaccurately determined.

Related Art

Medical imaging is a widely used approach in medicine for acquiringimages of the human body. For example, medical imaging of a patient mayinvolve one or more modalities such as: computed tomography, ultrasound,magnetic resonance imaging, and x-ray imaging. The resulting images aretypically evaluated by a physician (such as a radiologist) to diagnosedisease and to guide subsequent treatment (e.g., surgical procedures).

However, it can be difficult to interpret medical images. In particular,it is often difficult to distinguish abnormal features from normalanatomical features. Moreover, many of the abnormal features identifiedduring evaluation of medical images are artifacts (or so-called ‘falsepositives’) that do not affect the health of the patient.

In addition, it can be challenging to compare medical images that areacquired from different perspectives or in which the patient has adifferent orientation relative to an imaging apparatus (to identifyabnormal features). For example, many of the organs in the human bodyare non-rigid and have mechanical degrees of freedom (such as rotation,compression and extension) that allow these organs to change theirposition and shape in the different orientations. These problems candegrade the accuracy of the evaluations of medical images, resulting infalse positives, false negatives (where abnormal features are notidentified), unnecessary medical procedures and adverse patientoutcomes. Hence, there is a need for an improved analysis technique forevaluating medical images.

SUMMARY

A first group of disclosed embodiments relates to a computer (or acomputer system) that facilitates detailed multi-point annotation of ananatomical structure. During operation, the computer iterativelyperforms a set of operations for a group of marker points. Inparticular, for a given marker point, the computer provides, on adisplay, a given three-dimensional (3D) image of a portion of anindividual, where the given 3D image has an initial position and aninitial orientation. Then, the computer receives information specifyinga given two-dimensional (2D) plane in the given 3D image, where thegiven 2D plane has an angular position relative to the initialorientation. Moreover, the computer translates and rotates the given 3Dimage so that the given 2D plane is presented on a reference 2D plane ofthe display with an orientation parallel to the reference 2D plane (sothat the normal to the given 2D plane is parallel to the normal of thereference 2D plane), where, prior to the translating and the rotating,the angular position of the given 2D plane is different from an angularposition of the reference 2D plane and is different from a predefinedorientation of slices in the given 3D image. Next, the computer receivesannotation information specifying detailed annotation in the given 2Dplane of the given marker point. After the annotation of the givenmarker point is complete, the computer translates and rotates the given3D image back to the initial position and the initial orientation.

Note that the given 3D image may be different for at least some of themarker points in the group of marker points.

Moreover, the detailed annotation may include at least one of: a size ofthe anatomical structure based on at least some of the group ofannotation markers, an orientation of the anatomical structure, adirection of the anatomical structure or a location of the anatomicalstructure.

Furthermore, the annotation information specifying the detailedannotation may be associated with or received from an interaction tool.Alternatively or additionally, the annotation information specifying thedetailed annotation may correspond to haptic interaction with thedisplay, such as between a digit of a user and the display.

Additionally, the given 3D image may include a stereoscopic image.

In some embodiments the given 2D plane is positioned at a zero parallaxposition so that 3D information in the given 2D plane is perceived as 2Dinformation.

Note that at least a pair of the marker points in the group of markerpoints may describe one of: a linear distance, or a 3D vector. Moreover,at least three of the marker points in the group of marker points maydescribe one of: a plane, or an angle between two intersecting lines.Furthermore, at least some of the marker points in the group of markerpoints may describe one of: a poly-line, an open contour, a closedcontour, or a closed surface.

Another embodiment provides a method that includes at least some of theoperations performed by the computer.

Another embodiment provides a computer-readable storage medium for usewith the computer. This computer-readable storage medium stores aprogram module, which, when executed by the computer, causes thecomputer to perform at least some of the aforementioned operations.

A second group of disclosed embodiments relates to a computer (or acomputer system) that facilitates detailed multi-point annotation of ananatomical structure. During operation, the computer provides, on adisplay, a first 3D image of a portion of an individual, where the first3D image has an initial position and an initial orientation. Then, thecomputer receives information specifying a first 2D plane in the first3D image, where the first 2D plane has an angular position relative tothe initial orientation. Moreover, the computer translates and rotatesthe first 3D image so that the first 2D plane is presented on areference 2D plane of the display with an orientation parallel to thereference 2D plane (so that the normal to the first 2D plane is parallelto the normal of the reference 2D plane), where, prior to thetranslating and the rotating, the angular position of the first 2D planeis different from an angular position of the reference 2D plane and isdifferent from a predefined orientation of slices in the first 3D image.Next, the computer receives annotation information specifying detailedannotation in the first 2D plane of a first marker point.

After the annotation of the first marker point is complete, the computerprovides, on the display, a second 3D image of a portion of anindividual, where the second 3D image is generated by translating imagedata along a normal direction to the first 2D plane by a predefineddistance. Then, the computer receives annotation information specifyingdetailed annotation in a second 2D plane of a second marker point.Moreover, after the annotation of the second marker point is complete,the computer translates and rotates the second 3D image back to theinitial position and the initial orientation.

In some embodiments, the computer iteratively performs a set ofoperations for a group of marker points. In particular, for a givenmarker point, the computer may provide, on the display, a given 3D imageof the portion of the individual, wherein the given 3D image isgenerated by translating the image data along the normal direction tothe first 2D plane by a given predefined distance. Then, the computermay receive given annotation information specifying detailed annotationin a given 2D plane of the given marker point. Moreover, after theannotation of the given marker point is complete, the computer maytranslate and rotate the given 3D image back to the initial position andthe initial orientation.

Note that the detailed annotation may specify at least one of: a size ofthe anatomical structure, an orientation of the anatomical structure, adirection of the anatomical structure or a location of the anatomicalstructure.

Moreover, the annotation information specifying the detailed annotationmay be associated with or received from an interaction tool.Alternatively or additionally, the annotation information specifying thedetailed annotation may correspond to haptic interaction with thedisplay, such as between a digit of a user and the display.

Furthermore, the first 3D image, the second 3D image or the given 3Dimage may be a stereoscopic image.

Additionally, the first 2D plane, the second 2D plane or the given 2Dplane may be positioned at a zero parallax position so that 3Dinformation in the first 2D plane, the second 2D plane or the given 2Dplane is perceived as 2D information.

Note that at least a pair of the marker points in the group of markerpoints may describe one of: a linear distance, or a 3D vector. Moreover,at least three of the marker points in the group of marker points maydescribe one of: a plane, or an angle between two intersecting lines.Furthermore, at least some of the marker points in the group of markerpoints may describe one of: a poly-line, an open contour, a closedcontour, or a closed surface.

Another embodiment provides a method that includes at least some of theoperations performed by the computer.

Another embodiment provides a computer-readable storage medium for usewith the computer. This computer-readable storage medium stores aprogram module, which, when executed by the computer, causes thecomputer to perform at least some of the aforementioned operations.

The preceding summary is provided as an overview of some exemplaryembodiments and to provide a basic understanding of aspects of thesubject matter described herein. Accordingly, the above-describedfeatures are merely examples and should not be construed as narrowingthe scope or spirit of the subject matter described herein in any way.Other features, aspects, and advantages of the subject matter describedherein will become apparent from the following Detailed Description,Figures, and Claims.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a flow chart illustrating a method for measuring a size of ananatomical structure in accordance with an embodiment of the presentdisclosure.

FIG. 2 is a flow chart illustrating the method of FIG. 1 in accordancewith an embodiment of the present disclosure.

FIG. 3 is a drawing of illustrating transforming a medical image of anindividual in accordance with an embodiment of the present disclosure.

FIG. 4 is a drawing of illustrating transforming a medical image of anindividual in accordance with an embodiment of the present disclosure.

FIG. 5 is a flow chart illustrating a method for multi-point annotationof an anatomical structure in accordance with an embodiment of thepresent disclosure.

FIG. 6 is a drawing of illustrating the method of FIG. 5 in accordancewith an embodiment of the present disclosure.

FIG. 7 is a flow chart illustrating a method for multi-point annotationof an anatomical structure in accordance with an embodiment of thepresent disclosure.

FIG. 8 is a drawing of illustrating the method of FIG. 7 in accordancewith an embodiment of the present disclosure.

FIG. 9 is a block diagram illustrating a system that performs at leastone of the described methods in accordance with an embodiment of thepresent disclosure.

FIG. 10 is a block diagram illustrating a computer system that performsat least one of the described methods in accordance with an embodimentof the present disclosure.

FIG. 11 is a block diagram illustrating a data structure that includesimage data in accordance with an embodiment of the present disclosure.

Note that like reference numerals refer to corresponding partsthroughout the drawings. Moreover, multiple instances of the same partare designated by a common prefix separated from an instance number by adash.

DETAILED DESCRIPTION

Embodiments of a computer or a computer system, a technique forfacilitating detailed multi-point annotation of an anatomical structure,and a computer-program product (e.g., software) for use with thecomputer system are described. During this analysis technique, athree-dimensional (3D) image of a portion of an individual isiteratively transformed to facilitate accurate determination of detailedmulti-point annotation of an anatomical structure. In particular, for agiven marker point, in response to receiving information specifying atwo-dimensional (2D) plane having an angular position in the 3D image,the 3D image is translated and rotated from an initial position and aninitial orientation so that the 2D plane is presented in an orientationparallel to a reference 2D plane of a display. Then, after annotationinformation specifying the detailed annotation in the 2D plane of thegiven marker point is received, the 3D image is translated and rotatedback to the initial position and the initial orientation. Theseoperations may be repeated for one or more other marker points. Notethat the detailed annotation may include: specifying the size of theanatomical structure based on the markers points, an orientation of theanatomical structure, a direction of the anatomical structure and/or alocation of the anatomical structure.

Alternatively or additionally, after the annotation is received for afirst marker point in a first 2D plane, a second 3D image of the same ora different portion of the individual is provided. This second 3D imagemay be generated by translating image data along a normal direction tothe first 2D plane by a predefined distance, such as a distancecorresponding to a voxel size, a slice thickness and/or a distancecorresponding to a discrete sampling. Then, after annotation informationspecifying the detailed annotation in a second 2D plane of a secondmarker point is received, the second 3D image is translated and rotatedback to the initial position and the initial orientation. Theseoperations may be repeated for one or more other marker points.

By facilitating accurate determination of the marker points (which aresometimes referred to as annotation markers), the analysis technique mayimprove the accuracy of evaluations or interpretations of medical imagesby healthcare professionals (such as radiologists). In the process, theanalysis technique may reduce patient anxiety and may reduce the cost(including unnecessary medical procedures and/or diagnostic testing) andadverse patient outcomes (including mortality) associated with incorrectdetermination of the sizes of anatomical structures.

In the discussion that follows, the medical images are of an individual.More generally, the medical images may be of an animal that is living ordeceased. Furthermore, the medical images of the object may be acquiredusing a wide variety of medical-imaging modalities, including: acomputed-tomography or CT scan, histology, an ultrasound image, amagnetic resonance imaging or MRI scan, x-ray imaging, or another typeof two-dimensional (2D) image slice depicting volumetric information. Asan illustrative example, the object is the colon, and the medical imagesare acquired using CT scans (e.g., a CT colonography or CT virtualcolonoscopy). However, the images may be a variety of organs and aspectsof anatomy, as well as a variety of procedures (such as mammography orlung-cancer screening). In general, the object may be a non-rigid objectthat includes medical degrees of freedom, such as: rotation, compressionand extension. Thus, the object may include organs and anatomicalfeatures or structures such as: a portion of a small intestine, aportion of a large intestine, a portion of a non-rigid organ, a portionof the vascular system (such as the heart, an artery or a vein), and/ora portion of an organ that includes a cavity with a fluid or a liquid.

Furthermore, in the discussion that follows, annotation markers are usedas an illustration of detailed annotation of the anatomical structure.However, more generally, ‘detailed annotation’ should be understood toinclude: specifying the size of the anatomical structure based onannotation markers, an orientation of the anatomical structure, adirection of the anatomical structure and/or a location of theanatomical structure. This detailed annotation may facilitate tracingand/or measurement of the anatomical structure.

We now describe embodiments of the analysis technique. FIG. 1 presents aflow chart illustrating a method 100 for measuring the size of ananatomical structure, which may be performed by a computer or computersystem (such as computer system 1000 in FIG. 10). Note that computer andcomputer system are used interchangeably in this discuss. Consequently,the described techniques may be implemented using a standalone computeror a distributed computing system, which is either local or remotelylocated.

During operation, the computer system provides, on a display, a 3D imageof a portion of an individual (operation 110), where the 3D image has aninitial position and an initial orientation. Note that the 3D image mayinclude a stereoscopic image. In an exemplary embodiment, the 3D imageincludes representations of human anatomy, such as input data that iscompatible with a Digital Imaging and Communications in Medicine (DICOM)standard. In some embodiments, the 3D image corresponds to a crosssection of the volume and/or a multiplanar-reconstruction image.

Then, the computer system receives (or accesses in a computer-readablememory) information specifying a 2D plane in the 3D image (operation112), where the 2D plane has an angular position relative to the initialorientation. The angular position may be at an oblique or arbitraryangle relative to a symmetry axis of the individual (such as a symmetryaxis in the axial, coronal and/or sagittal planes).

Moreover, the computer system translates and rotates the 3D image sothat the 2D plane is presented on a reference 2D plane of the displaywith an orientation parallel to the reference 2D plane (operation 114).This 2D plane may be positioned at a zero parallax position so that 3Dinformation in the 2D plane is perceived as 2D information.

Next, the computer system receives annotation information specifyingannotation markers in the 2D plane (operation 116), where the annotationmarkers specify the size of the anatomical structure. For example, theannotation information specifying the annotation markers may be receivedfrom an interaction tool (such as by tracking the location or positionof the interaction tool relative to the display). Alternatively oradditionally, the annotation information specifying the annotationmarkers may correspond to haptic interaction between a digit of a userand the display. Note that the parallel orientation and/or zero parallaxmay facilitate accurate determination of annotation markers by a user ofthe computer system, who may specify the annotation markers.

In an exemplary embodiment, the anatomical structure includes: a portionof a small intestine, a portion of a large intestine (such as a polypcandidate), a portion of an organ, a portion of the vascular system(such as an artery or a vein), a portion of an organ that includes acavity with a fluid (such as a valve in the heart), a portion of atumor, etc. Thus, the anatomical structure may include normal and/orabnormal anatomical structures.

After the annotation is complete, the computer system translates androtates the 3D image back to the initial position and the initialorientation (operation 120). For example, the user may indicate when theannotation is complete. Therefore, in some embodiments, prior totranslating and rotating the 3D image back to the initial orientation(operation 120), the computer system optionally receives a commandindicating that the annotation is complete (operation 118).

In an exemplary embodiment, the analysis technique is implemented usingone or more electronic devices (such as a computer or a portableelectronic device, e.g., a cellular telephone) and one or more computers(such as a server or a computer system), which communicate through anetwork, such as a cellular-telephone network and/or the Internet. Thisis illustrated in FIG. 2, which presents a flow chart illustratingmethod 100 (FIG. 1).

During the method, computer 212 may provide (operation 214) imageinformation specifying the 3D image of the portion of the individual.Electronic device 210 (which may include a display) may receive theimage information (operation 216) and may present the 3D image to a user(e.g., on the display).

Then, electronic device 210 may receive plane information (operation218) specifying the 2D plane in the 3D image. For example, whileinteracting with the displayed 3D image using an interaction tool (suchas a stylus) and/or by touching the display (in embodiments where thedisplay is touch sensitive), the user (such as a physician or aradiologist) may provide the plane information. Moreover, electronicdevice 210 may provide (operation 220) and computer 212 may receive theplane information (operation 222). Alternatively, in some embodimentsthe plane information was previously provided or was predefined. Inthese embodiments, computer 212 may access the plane information in acomputer-readable memory. In some embodiments, computer 212 determinesthe 2D plane based on previous user actions, metadata associated withthe 3D image (such as metadata that indicates a reason for amedical-imaging study, e.g., a probable or suspected diagnosis) and/orcomputer-assisted detection (which may identify the anatomical structureand, thus, the 2D plane).

Next, computer 212 may modify the image information (operation 224) totranslate and rotate the 3D image so that the 2D plane is presented inthe reference 2D plane of the display with the orientation parallel tothe reference 2D plane. This modification may involve computer 212accessing data specifying one or more images in a computer-readablememory (such as data structure 1038 in FIGS. 10 and 11). Moreover,computer 212 may provide (operation 226) and electronic device 210 mayreceive the modified image information (operation 228), which may thenbe presented to the user (e.g., on the display).

Furthermore, electronic device 210 may receive annotation information(operation 230) specifying the annotation markers in the 2D plane. Forexample, while interacting with the displayed image using theinteraction tool and/or by touching the display, the user may providethe annotation information. Electronic device 210 may provide (operation232) and computer 212 may receive (operation 234) the annotationinformation.

Additionally, electronic device 210 may receive the command (operation236) indicating that the annotation is complete. In response, electronicdevice 210 may provide (operation 238) and computer 212 may receive thecommand (operation 240). Then, computer 212 may modify the imageinformation (operation 242) to translate and rotate the 3D image back tothe initial position and orientation, and computer 212 may repeatoperation 214 and electronic device 210 may repeat operation 216.

In some embodiments of method 100 (FIGS. 1 and 2), there are additionalor fewer operations. Moreover, the order of the operations may bechanged, and/or two or more operations may be combined into a singleoperation.

In an exemplary embodiment, the analysis technique may allow the size ofthe anatomical structure to be accurately determined and specified by auser of the computer system while viewing the 3D image. The 3D image mayinclude so-called True 3D, which combines stereoscopic images (via imageparallax) with motion parallax and prehension associated withinteraction of the user with the stereoscopic images using theinteraction tool and/or one or more of the user's fingers. True 3D mayprovide a better understanding of anatomical shapes and structuresbecause it integrates all three dimensions and corresponding depth cuesin a single view.

However, if the translation and rotation of the 3D image in the analysistechnique are not performed, the reader (such as the user of thecomputer system, e.g., a radiologist) may have the hard task ofperforming a mental rotation or an imagined perspective shift in orderto determine or specify the annotation markers. Instead, by transformingthe 3D image during a haptic-plane or annotation mode of operation, theanalysis technique allows the reader to offload spatial cognition totheir perceptual motor system (via the interaction tool and/or one ormore of the user's fingers), which can reduce the intensity of 3D imageinterpretation and can significantly increase the accuracy of determinedsize of the anatomical structure. Consequently, the analysis techniquemay reduce perceptual errors when reading 3D images.

The translation and rotation operations are shown in FIG. 3, whichpresents a drawing of illustrating transforming a medical image of anindividual. In particular, 2D plane 312 in 3D image 310 is rotated andtranslated so that it is parallel to the plane of FIG. 3 (whichrepresents the reference 2D plane of a display that displays 3D image310). This parallel orientation facilitates determining or specifying ofannotation markers 316 associated with anatomical structure 314.

We now describe an illustration of the calculations used in the analysistechnique. The analysis technique may be used during a haptic-plane orannotation mode of operation. This annotation mode of operation may usethree elements: the 2D plane (which is sometimes referred to as a ‘clipplane’ or a ‘cut plane’) that may be applied to an object (which, forpurposes of illustration, can be volume or an image dataset used tocreate a 2D multiplanar-reconstruction-image slice or volume), thereference 2D plane (which is sometimes referred to as a ‘physicalplane’) of the display, and the object. Note that the 2D plane may bedefined as a point and a normal, where the point indicates the locationof the 2D plane and the normal indicates the orientation of the 2Dplane. Similarly, the reference 2D plane may be defined as a point andnormal, where the point is the world center or origin (0, 0, 0) and thenormal creates a −30° rotation about the x axis.

The purpose of the analysis technique may be to transform (which, ingeneral, involves translation and/or rotation) an oblique cross sectionof a volume or an oblique 2D multiplanar-reconstruction image (createdby the application of the 2D plane or a clip plane on the image data) tothe reference 2D plane. Then, once on the reference 2D plane, the crosssection or 2D multiplanar-reconstruction image may maintain anorientation equal to the orientation of the reference 2D plane.Moreover, because the cross section of the volume or themultiplanar-reconstruction image is on the reference 2D plane, the usercan rest his/her hand and may annotate (mark, measure, delineate, etc.)a 3D representation of the data with high confidence. Furthermore, oncethe annotation is complete, the cross section of the volume or theoblique 2D multiplanar-reconstruction image may be transformed (which,in general, involves translation and/or rotation) back to the originalposition.

The transformation may involve the following operations: start up,haptic-location identification, 2D plane preprocessing, haptic-rotationcalculation, haptic-translation calculation, and application of thehaptic transformation (including the haptic rotation and/or the haptictranslation) about the haptic location to the object. The result ofthese operations may be that the cross section of the object is visibleon the reference 2D plane of the display.

In particular, during the start-up operation, the original matrices forboth the 2D plane and the object may be saved. These matrices maycontain the location, orientation and scale. Similarly, during thehaptic-location-identification operation, the original location of the2D plane (which is sometimes referred to as the ‘haptic location’) maybe saved to be used as a point from which to apply the haptic rotation.Moreover, during the 2D-plane-preprocessing operation the 2D plane maybe rotated in place so that it is pointing up (so-called ‘world up’),thereby removing any additional rotation except for the −30° rotationthat may be required for the physical display (i.e., to the reference 2Dplane). Furthermore, during the haptic-rotation-calculation operation,the rotation of the 2D plane to the reference 2D plane may be calculated(in this example, this may be a −30° rotation about the x axis) and theresulting rotation matrix used for this transformation (which issometimes referred to as ‘haptic rotation’) may be saved. Additionally,during the haptic-translation-calculation operation, the translationneeded to move the 2D plane to the reference 2D plane may be determined.The delta vector in this operation (which is sometimes referred to as‘haptic translation’) may be saved. Finally, during thehaptic-transformation operation, the haptic rotation may be applied tothe object about the haptic location (the original position of the 2Dplane), and then the haptic translation may be applied to the object(i.e., it may be translated by the same amount as the 2D plane).

We now describe embodiments of the 2D-plane preprocessing in moredetail. The 2D-plane preprocessing is shown in FIG. 4, which presents adrawing of illustrating transforming a medical image of an individual.Note that, for clarity, only a portion of the medical image is shown.During the 2D-plane-preprocessing operation, a vector that has zero xcomponent, but that still lies in the 2D plane, may be determined. Thiscalculation may use two vectors refUp and refLeft, and may determine athird vector (the desiredVector) for which the determinant is zero(i.e., so that the three vectors lie on the 2D plane).

In particular, the current refUp and refLeft points may be identified.Then, the haptic point (location) may be identified. Moreover, theupVector may be calculated as refUp minus haptic point, and theleftVector may be calculated as refLeft minus haptic point. Next, theupVector and leftVector may be normalized. Furthermore, the z componentof desiredVector may be calculated via evaluation of possibleVectors.The components of possibleVector1 may be:

${{{possibleVector}\; {1\lbrack x\rbrack}} = 0},{{{possibleVector}\; {1\lbrack y\rbrack}} = \sqrt{1 - {{possibleVector}\; {1\lbrack z\rbrack}^{2}}}},{and}$${{{possibleVector}\; {1\lbrack z\rbrack}} = \frac{\left( {{{leftVector}_{x} \cdot {upVector}_{z}} - {{upVector}_{z} \cdot {leftVector}_{z}}} \right)}{\sqrt{{\alpha \cdot \beta} + \delta^{2}}}},{{{where}\mspace{14mu} \alpha} = {{{leftVector}_{x} \cdot {upVector}_{y}} - {{upVector}_{z} \cdot {leftVector}_{y}}}},{\beta = {{{leftVector}_{x} \cdot {upVector}_{y}} - {{upVector}_{x} \cdot {leftVector}_{y}}}},{and}$δ = leftVector_(x) ⋅ upVector_(z) − upVector_(x) ⋅ leftVector_(z).

Similarly, the components of possibleVector2 may be:

${{{possibleVector}\; {2\lbrack x\rbrack}} = 0},{{{possibleVector}\; {2\lbrack y\rbrack}} = \sqrt{1 - {{possibleVector}\; {2\lbrack z\rbrack}^{2}}}},{and}$${{{possibleVector}\; {2\lbrack z\rbrack}} = \frac{- \left( {{{leftVector}_{x} \cdot {upVector}_{z}} - {{upVector}_{z} \cdot {leftVector}_{z}}} \right)}{\sqrt{{\alpha \cdot \beta} + \delta^{2}}}},{{{where}\mspace{14mu} \alpha} = {{{leftVector}_{x} \cdot {upVector}_{y}} - {{upVector}_{z} \cdot {leftVector}_{y}}}},{\beta = {{{leftVector}_{x} \cdot {upVector}_{y}} - {{upVector}_{x} \cdot {leftVector}_{y}}}},{and}$δ = leftVector_(x) ⋅ upVector_(z) − upVector_(x) ⋅ leftVector_(z).

Subsequently, the 3×3 determinates of the possible vectors may becalculated as:

${\det \; 1} = \left| \begin{matrix}{upVector}_{z} & {upVector}_{y} & {upVector}_{z} \\{leftVector}_{x} & {leftVector}_{y} & {leftVector}_{z} \\{{possibleVector}\; {1\lbrack x\rbrack}} & {{possibleVector}\; {1\lbrack y\rbrack}} & {{possibleVector}\; {1\lbrack z\rbrack}}\end{matrix} \middle| {and} \right.$${\det \; 2} = \left| \begin{matrix}{upVector}_{z} & {upVector}_{y} & {upVector}_{z} \\{leftVector}_{x} & {leftVector}_{y} & {leftVector}_{z} \\{{possibleVector}\; {2\lbrack x\rbrack}} & {{possibleVector}\; {2\lbrack y\rbrack}} & {{possibleVector}\; {2\lbrack z\rbrack}}\end{matrix} \right|$

The desiredVector may be the possible vector with the smallest zcomponent. In particular, if det1 is less than det2, the desiredVectormay equal possibleVector1. Otherwise, if det2 is less than det1, thedesiredVector may equal possibleVector2.

As described further below, the quaternion rotation from the upVector tothe desiredVector may then be calculated, where V₀ equals the upVectorand V₁ equals the desiredVector.

Note that the delta vector may be the difference between two quaternionrotations defined by two reference markers and a feature. In particular,a quaternion {right arrow over (q)} may be an array containing a vector{right arrow over (v)} and a scalar w. The scalar value may be therotation angle θ in radians and the vector may be the unit vector aboutwhich the rotation takes place. Thus,

{right arrow over (q)}=

{right arrow over (v)},w

,

where w equals q₃ and

{right arrow over (v)}=[q ₀ ,q ₁ ,q ₂]=[x,y,z].

Moreover, a quaternion can represent a rotation by a rotation angle θaround a unit axis a. Note that if a has unit length, then {right arrowover (q)} has unit length too. Thus,

$\overset{\rightarrow}{q} = \left\lbrack {{a_{x}\mspace{14mu} {\sin \left( \frac{\theta}{2} \right)}a_{y}\mspace{14mu} {\sin \left( \frac{\theta}{2} \right)}a_{z}\mspace{14mu} {\sin \left( \frac{\theta}{2} \right)}},{\cos \left( \frac{\theta}{2} \right)}} \right\rbrack$or$\overset{\rightarrow}{q} = {\left\lbrack {{\overset{\rightarrow}{a}\mspace{14mu} {\sin \left( \frac{\theta}{2} \right)}},{\cos \left( \frac{\theta}{2} \right)}} \right\rbrack.}$

We now describe embodiments of the quaternion calculation in moredetail. Given normalized vectors V₀ and V₁, {right arrow over (q)}equals

${{V_{0}V_{1}^{*}} = {\left\lbrack {{V_{0}{xV}_{1}},{V_{0} \cdot V_{1}}} \right\rbrack = \left\lbrack {{\hat{V}\mspace{14mu} {\sin \left( \frac{\theta}{2} \right)}},{\cos \left( \frac{\theta}{2} \right)}} \right\rbrack}},{where}$${\hat{V} = \frac{V_{0}{xV}_{1}}{\left. ||{V_{0}{xV}_{1}} \right.||}},{{V_{0} \cdot V_{1}} = {{\cos \left( \frac{\theta}{2} \right)} = W}},{and}$${\overset{\rightarrow}{q}}^{*} = {\left\lbrack {{- V},W} \right\rbrack.}$

In an exemplary embodiment, 2·ϕ=upVector·desiredVector,qv=upVector⊗desiredVector (where ⊗ denotes a cross product),2 φ=a cos(2·φ), and

$\varphi = {\frac{2 \cdot \phi}{2}.}$

Then, the quaternion rotation scalar w may be cos(φ) and the projectionfactor f for a unit vector of the quaternion may be sin(φ).Consequently, the components of the quaternion may be:

q[0]=w,

q[1]=ƒ·qv[0],

q[2]=ƒ·qv[1],

q[3]=ƒ·qv[2],

Thus, the quaternion may be transformed into a 3×3 rotation matrix.

We now describe embodiments of the haptic-rotation calculation in moredetail. First, the rotation to the reference 2D plane may be calculated.The result may be the current rotation matrix of the 2D plane, which maybe stored as cutPlaneRotation. Then, cutPlaneRotation may be inverted.Using the desired end rotation (which may be a constant of −30° aboutthe x axis), which in matrix notation may be represented as

$\begin{pmatrix}1 & 0 & 0 \\0 & 0.5 & {- \frac{\sqrt{3}}{2}} \\0 & \frac{\sqrt{3}}{2} & 0.5\end{pmatrix},$

the ‘delta’ rotation (or deltaRotation) may be calculated by multiplyingthe end rotation by cutPlaneRotation.

We now describe embodiments of the haptic-translation calculation inmore detail. Using the haptic location and the center of the physicaldisplay, the haptic translation may be calculated as: deltaVector[x]equal to physical display center[x]−haptic location[x], deltaVector[y]equal to physical display center[y]−haptic location[y], anddeltaVector[z] equal to physical display center[z]−haptic location[z].

The results of the preceding calculations can be used to implement thehaptic transformation. In particular, by using current 4×4 matrix of theobject, a series of rotations and translations may be concatenated toplace it at the reference 2D plane with the correct up rotation. Forexample, the haptic transformation for the object may be created by:translating the current matrix of the object by −1·haptic location.Then, the resulting matrix may be rotated by the haptic rotation, andmay be translated by the haptic location. Finally, the resulting matrixmay be translated by the haptic translation. Application of this matrixmay result in the cross section of the object being visible in the 2Dplane, and the 2D plane being moved to the reference 2D plane of thedisplay.

While a particular set of calculations and operations are described inthe preceding examples, in other embodiments there may be differentcalculations and operations (such as a different decomposition of the 2Dplane preprocessing and the haptic-rotation calculation).

We now described embodiments of multi-point annotation techniques. FIG.5 presents a flow chart illustrating a method 500 for multi-pointannotation of an anatomical structure, which may be performed by acomputer or a computer system (such as computer system 1000 in FIG. 10).During operation, the computer iteratively performs a set of operations(operation 510) for a group of marker points. In particular, for a givenmarker point, the computer provides, on a display, a given 3D image of aportion of an individual (operation 512), where the given 3D image hasan initial position and an initial orientation. Note that the given 3Dimage may include a stereoscopic image. In an exemplary embodiment, thegiven 3D image includes representations of human anatomy, such as inputdata that is compatible with a DICOM standard. In some embodiments, thegiven 3D image corresponds to a cross section of a volume and/or amultiplanar-reconstruction image.

Then, the computer receives (or accesses in a computer-readable memory)information specifying a given 2D plane (operation 514) in the given 3Dimage, where the given 2D plane has an angular position relative to theinitial orientation. The angular position may be at an oblique orarbitrary angle relative to a symmetry axis of the individual (such as asymmetry axis in the axial, coronal and/or sagittal planes).

Moreover, the computer translates and rotates the given 3D image(operation 516) so that the given 2D plane is presented on a reference2D plane of the display with an orientation parallel to the reference 2Dplane (so that the normal to the given 2D plane is parallel to thenormal of the reference 2D plane), where, prior to the translating andthe rotating, the angular position of the given 2D plane is differentfrom an angular position of the reference 2D plane and is different froma predefined orientation of slices in the given 3D image. This given 2Dplane may be positioned at a zero parallax position so that 3Dinformation in the given 2D plane is perceived as 2D information.

Next, the computer receives annotation information (operation 518)specifying detailed annotation in the given 2D plane of at least thegiven marker point (or optionally one or more additional marker pointsin the given 2D plane). For example, the annotation informationspecifying the annotation markers may be received from an interactiontool (such as by tracking the location or position of the interactiontool relative to the display). Alternatively or additionally, theannotation information specifying the annotation markers may correspondto haptic interaction between a digit of a user and the display. Notethat the parallel orientation and/or zero parallax may facilitateaccurate determination of annotation markers by a user of the computersystem, who may specify the annotation markers. In some embodiments, thedetailed annotation includes at least one of: a size of the anatomicalstructure based on at least some of the group of annotation markers, anorientation of the anatomical structure, a direction of the anatomicalstructure or a location of the anatomical structure.

After the annotation of the given marker point is complete, the computertranslates and rotates the given 3D image (operation 522) back to theinitial position and the initial orientation. For example, the user mayindicate when the annotation is complete. Therefore, in someembodiments, prior to translating and rotating the 3D image back to theinitial orientation (operation 522), the computer system optionallyreceives a command indicating that the annotation is complete (operation520).

Furthermore, operations 512-522 may be optionally repeated (operation524) for zero or more other marker points in the group of marker points.Note that the given 3D image may be different for at least some of themarker points in the group of marker points.

In some embodiments, at least a pair of the marker points in the groupof marker points describe one of: a linear distance, or a 3D vector.Moreover, at least three of the marker points in the group of markerpoints may describe one of: a plane, or an angle between twointersecting lines. Furthermore, at least some of the marker points inthe group of marker points may describe one of: a poly-line (i.e., acontinuous line described by one or more line segments), an opencontour, a closed contour, or a closed surface.

FIG. 6 presents a drawing of illustrating method 500 (FIG. 5). Inparticular, a first 2D plane 612 in a first 3D image 610 of a portion ofan individual has an angular position relative to an initial orientationof the first 3D image 610. Then, the first 3D image 610 is translatedand rotated so that the first 2D plane 612 is presented in a plane ofFIG. 6 (which may represent a reference 2D plane of a display). This mayallow one or more annotation markers 614 to be specified. Subsequently,the first 3D image 610 is translated and rotated back to an initialposition and the initial orientation.

These operations may be repeated for other annotation markers in a groupof annotation markers. For example, a second 2D plane 618 in a second 3Dimage 616 of a portion of an individual has an angular position relativeto an initial orientation of the second 3D image 616. Then, the second3D image 616 is translated and rotated so that the second 2D plane 618is presented in the plane of FIG. 6. This may allow one or moreannotation markers 620 to be specified. Subsequently, the second 3Dimage 616 is translated and rotated back to an initial position and theinitial orientation. Note that the second 3D image 616 may be the sameor different than the first 3D image 610. Moreover, the first 3D image610 and the second 3D image 616 may correspond to or may be associatedwith the same or different portions of the individual.

In this way, the analysis technique may allow a user to define orspecify the group of annotation markers, which may allow the user tospecify annotation information about an anatomical structure. Forexample, the anatomical structure may include: a portion of a smallintestine, a portion of a large intestine (such as a polyp candidate), aportion of an organ, a portion of the vascular system (such as an arteryor a vein), a portion of an organ that includes a cavity with a fluid(such as a valve in the heart), a portion of a tumor, etc. Thus, asnoted previously, the anatomical structure may include normal and/orabnormal anatomical structures.

FIG. 7 presents a flow chart illustrating a method 700 for multi-pointannotation of an anatomical structure, which may be performed by acomputer or a computer system (such as computer system 1000 in FIG. 10).During operation, the computer provides, on a display, a first 3D image(operation 710) of a portion of an individual, where the first 3D imagehas an initial position and an initial orientation.

Then, the computer receives (or accesses in a computer-readable memory)information specifying a first 2D plane (operation 712) in the first 3Dimage, where the first 2D plane has an angular position relative to theinitial orientation. The angular position may be at an oblique orarbitrary angle relative to a symmetry axis of the individual (such as asymmetry axis in the axial, coronal and/or sagittal planes).

Moreover, the computer translates and rotates the first 3D image(operation 714) so that the first 2D plane is presented on a reference2D plane of the display with an orientation parallel to the reference 2Dplane (so that the normal to the first 2D plane is parallel to thenormal of the reference 2D plane), where, prior to the translating andthe rotating, the angular position of the first 2D plane is differentfrom an angular position of the reference 2D plane and is different froma predefined orientation of slices in the first 3D image. In general, agiven 2D plane (such as the first 2D plane) may be positioned at a zeroparallax position so that 3D information in the given 2D plane isperceived as 2D information.

Next, the computer receives annotation information (operation 716)specifying detailed annotation in the first 2D plane of a first markerpoint.

After the annotation of the first marker point is complete, the computerprovides, on the display, a second 3D image (operation 720) of a portionof an individual, where the second 3D image is generated by translatingimage data along a normal direction to the first 2D plane by apredefined distance. For example, the predefined distance may correspondto or may be associated with a voxel size (such as a length of an edgeon between one and five voxels), a slice thickness and/or a distancecorresponding to a discrete sampling. In some embodiments, the user mayindicate when the annotation is complete. Therefore, in someembodiments, prior to providing the second 3D image (operation 720), thecomputer system optionally receives a command indicating that theannotation is complete (operation 718).

Note that the second 3D image may be the same as or different from thefirst 3D image. (In general, a 3D image used for at least some markerpoints may be different from other 31) images in method 700). Moreover,a given 3D image may include a stereoscopic image. In an exemplaryembodiment, the given 3D image includes representations of humananatomy, such as input data that is compatible with a DICOM standard. Insome embodiments, the given 3D image corresponds to a cross section of avolume and/or a multiplanar-reconstruction image.

Then, the computer receives annotation information (operation 722)specifying detailed annotation in a second 2D plane of a second markerpoint. For example, the annotation information specifying the annotationmarkers may be received from an interaction tool (such as by trackingthe location or position of the interaction tool relative to thedisplay). Alternatively or additionally, the annotation informationspecifying the annotation markers may correspond to haptic interactionbetween a digit of a user and the display. Note that the parallelorientation and/or zero parallax may facilitate accurate determinationof annotation markers by a user of the computer system, who may specifythe annotation markers. In some embodiments, the detailed annotationincludes at least one of: a size of the anatomical structure based on atleast some of the group of annotation markers, an orientation of theanatomical structure, a direction of the anatomical structure or alocation of the anatomical structure.

Moreover, after the annotation of the second marker point is complete,the computer translates and rotates the second 3D image (operation 726)back to the initial position and the initial orientation. Note that theuser may indicate when the annotation is complete. Therefore, in someembodiments, prior to translating and rotating the 3D image back to theinitial orientation (operation 726), the computer system optionallyreceives a command indicating that the annotation is complete (operation724).

Furthermore, operations 720-726 may be optionally repeated (operation728) for zero or more other marker points in a group of marker points.In particular, the computer may iteratively perform a set of operationsfor the group of marker points. Thus, for a given marker point, thecomputer may provide, on the display, a given 3D image of the portion ofthe individual, wherein the given 3D image is generated by translatingthe image data along the normal direction to the first 2D plane by agiven predefined distance. Then, the computer may receive givenannotation information specifying detailed annotation in a given 2Dplane of the given marker point. Moreover, after the annotation of thegiven marker point is complete, the computer may translate and rotatethe given 3D image back to the initial position and the initialorientation.

In some embodiments, at least a pair of the marker points in the groupof marker points describe one of: a linear distance, or a 3D vector.Moreover, at least three of the marker points in the group of markerpoints may describe one of: a plane, or an angle between twointersecting lines. Furthermore, at least some of the marker points inthe group of marker points may describe one of: a poly-line, an opencontour, a closed contour, or a closed surface.

FIG. 8 presents a drawing of illustrating method 700 (FIG. 7). Inparticular, a first 2D plane 812 in a first 3D image 810 of a portion ofan individual has an angular position relative to an initial orientationof the first 3D image 810. Then, the first 3D image 810 is translatedand rotated so that the first 2D plane 812 is presented in a plane ofFIG. 8 (which may represent a reference 2D plane of a display). This mayallow one or more annotation markers 814 to be specified.

Next, a second 2D plane 818 in a second 3D image 816 of a portion of theindividual has an angular position relative to an initial orientation ofthe second 3D image 816. The second 3D image 816 is generated bytranslating image data along a normal direction to the first 2D plane812 by a predefined distance 820. This may allow one or more annotationmarkers 822 to be specified. (These operations may be repeated for otherannotation markers in a group of annotation markers.) Subsequently, thesecond 3D image 816 is translated and rotated back to an initialposition and the initial orientation.

Note that the second 3D image 816 may be the same or different than thefirst 3D image 810. Moreover, the first 3D image 810 and the second 3Dimage 816 may correspond to or may be associated with the same ordifferent portions of the individual.

In this way, the analysis technique may allow a user to define orspecify the group of annotation markers, which may allow the user tospecify annotation information about an anatomical structure. Inparticular, method 700 (FIG. 7) may allow the user to traverse theanatomical structure, and to define or specify the group of annotationmarkers, in a structured way. For example, the anatomical structure mayinclude: a portion of a small intestine, a portion of a large intestine(such as a polyp candidate), a portion of an organ, a portion of thevascular system (such as an artery or a vein), a portion of an organthat includes a cavity with a fluid (such as a valve in the heart), aportion of a tumor, etc. Thus, as noted previously, the anatomicalstructure may include normal and/or abnormal anatomical structures.

We now describe embodiments of a system and the computer system, andtheir use. FIG. 9 presents a block diagram illustrating a system 900that can be used, in part, to perform operations in method 100 (FIGS. 1and 2), method 500 (FIG. 5) or method 700 (FIG. 7). In this system,during the analysis technique electronic device 210 may use a softwareproduct, such as a software application that is resident on and thatexecutes on electronic device 210. (Alternatively, the user may interactwith a web page that is provided by computer 212 via network 910, andwhich is rendered by a web browser on electronic device 210. Forexample, at least a portion of the software application may be anapplication tool that is embedded in the web page, and which executes ina virtual environment of the web browser. Thus, the application tool maybe provided to electronic device 210 via a client-server architecture.)This software application may be a standalone application or a portionof another application that is resident on and which executes onelectronic device 210 (such as a software application that is providedby computer 212 or that is installed and which executes on electronicdevice 210). In an exemplary embodiment, the software product may bemedical-imaging software, such as software used by radiologists.

During the analysis technique, computer 212 may provide, via network910, the image information specifying the 3D image of the portion of theindividual. This image information may be received by electronic device210 and may be presented to a user of electronic device 210 on a displayas the 3D image.

Then, the user may provide the plane information specifying the 2D planein the 3D image to electronic device 210, which may communicate, vianetwork 910, the plane information to computer 212.

Next, computer 212 may modify the image information to translate androtate the 3D image so that the 2D plane is presented in the reference2D plane of the display with the orientation parallel to the reference2D plane. Moreover, computer 212 may provide, via network 910, themodified image information to electronic device 210. This modified imageinformation may be received by electronic device 210 and may bepresented to the user of electronic device 210 on the display.

Subsequently, the user may provide the annotation information specifyingthe annotation markers in the 2D plane to electronic device 210, whichmay communicate, via network 910, the annotation information to computer212. Additionally, the user may provide the command or an instructionindicating that the annotation is complete to electronic device 210.

In response, electronic device 210 may provide, via network 910, thecommand to computer 212. Then, computer 212 may modify the imageinformation to translate and rotate the 3D image back to the initialposition and orientation. This revised image information may be providedby computer 212, via network 910, to electronic device 210, which may bepresented to the user of electronic device 210 on the display as the 3Dimage.

Note that information in system 900 may be stored at one or morelocations in system 900 (i.e., locally or remotely). Moreover, becausethis data may be sensitive in nature, it may be encrypted. For example,stored data and/or data communicated via network 910 may be encrypted.

FIG. 10 presents a block diagram illustrating a computer system 1000that performs at least one of the described methods, such as method 100(FIGS. 1 and 2), method 500 (FIG. 5) or method 700 (FIG. 7). Computersystem 1000 includes one or more processing units or processors 1010(such as a CPU or a GPU), a communication interface 1012, a userinterface 1014, and one or more signal lines 1022 coupling thesecomponents together. Note that the one or more processors 1010 maysupport parallel processing and/or multi-threaded operation, thecommunication interface 1012 may have a persistent communicationconnection, and the one or more signal lines 1022 may constitute acommunication bus. Moreover, the user interface 1014 may include: adisplay 1016, a keyboard 1018, and/or a pointer 1020, such as a mouse.

Memory 1024 in computer system 1000 may include volatile memory and/ornon-volatile memory. More specifically, memory 1024 may include: ROM,RAM, EPROM, EEPROM, flash memory, one or more smart cards, one or moremagnetic disc storage devices, and/or one or more optical storagedevices. Memory 1024 may store an operating system 1026 that includesprocedures (or a set of instructions) for handling various basic systemservices for performing hardware-dependent tasks. Memory 1024 may alsostore procedures (or a set of instructions) in a communication module1028. These communication procedures may be used for communicating withone or more computers and/or servers, including computers and/or serversthat are remotely located with respect to computer system 1000.

Memory 1024 may also include one or more program modules (or sets ofinstructions), including: imaging module 1030 (or a set ofinstructions), analysis module 1032 (or a set of instructions), and/orencryption module 1034 (or a set of instructions). Note that one or moreof these program modules (or sets of instructions) may constitute acomputer-program mechanism.

During the analysis technique, imaging module 1030 may receive from auser of electronic device 210 (FIGS. 2 and 4), via communicationinterface 1012 and communication module 1028, an instruction 1036 (or acommand) to provide one or more images 1040 in data structure 1038.(Alternatively, the one or more images 1040 may be provided viacommunication interface 1012 and communication module 1028.) As shown inFIG. 11, which presents a block diagram illustrating data structure 1038that includes image data, entries in data structure 1038 for the one ormore images 1040 may include: features 1112 (or anatomical structures),annotation markers 1052 associated with features 1112, geometricinformation 1054 associated with features 1052 (such as a size of one offeatures 1052), and/or spatial information 1056 (such as a positionand/or orientation of one of features 1052). While not shown in FIG. 11,the image data may include: image-parallax information, motion-parallaxinformation and/or prehension information.

Referring back to FIG. 10, in response to instruction 1036, imagingmodule 1030 may access the one or more images 1040 in data structure1038. Then, imaging module 1030 may generate and may provide, viacommunication module 1028 and communication interface 1012, imageinformation 1042 specifying the 3D image of the portion of theindividual based on the one or more images 1040.

Then, analysis module 1032 may receive, via communication interface 1012and communication module 1028, plane information 1044 specifying the 2Dplane in the 3D image. In response, analysis module 1032 may determinemodified image information 1046 by translating and rotating the 3D imageso that the 2D plane is presented on a reference 2D plane 1048 of adisplay (on which the 3D image is presented) with the orientationparallel to the reference 2D plane. Moreover, analysis module 1032 mayprovide, via communication module 1028 and communication interface 1012,modified image information 1046.

Subsequently, analysis module 1032 may receive, via communicationinterface 1012 and communication module 1028, annotation information1050 specifying annotation markers 1052 in the 2D plane. Analysis module1032 may calculate geometric information 1054 and/or spatial information1056 based on annotation markers 1052.

Furthermore, imaging module 1030 may receive, via communicationinterface 1012 and communication module 1028, command 1058 that theannotation of one or more of features 1112 (FIG. 11) is complete. Inresponse, imaging module 1030 may provide, via communication module 1028and communication interface 1012, image information 1042. Alternatively,imaging module 1032 may modify modified image information 1046 totranslate and rotate the 3D image back to the initial position andorientation (i.e., imaging module 1032 may generate image information1042), and then imaging module 1032 may provide, via communicationmodule 1028 and communication interface 1012, image information 1042.

Because information used in the analysis technique may be sensitive innature, in some embodiments at least some of the data stored in memory1024 and/or at least some of the data communicated using communicationmodule 1028 is encrypted or decrypted using encryption module 1034.

Instructions in the various modules in memory 1024 may be implementedin: a high-level procedural language, an object-oriented programminglanguage, and/or in an assembly or machine language. Note that theprogramming language may be compiled or interpreted, e.g., configurableor configured, to be executed by the one or more processors 1010.

Although computer system 1000 is illustrated as having a number ofdiscrete items, FIG. 10 is intended to be a functional description ofthe various features that may be present in computer system 1000 ratherthan a structural schematic of the embodiments described herein. In someembodiments, some or all of the functionality of computer system 1000may be implemented in one or more application-specific integratedcircuits (ASICs) and/or one or more digital signal processors (DSPs).

Computer system 1000, as well as electronic devices, computers andservers in system 1000, may include one of a variety of devices capableof manipulating computer-readable data or communicating such databetween two or more computing systems over a network, including: apersonal computer, a laptop computer, a tablet computer, a mainframecomputer, a portable electronic device (such as a cellular telephone orPDA), a server, and/or a client computer (in a client-serverarchitecture). Moreover, network 910 (FIG. 9) may include: the Internet,World Wide Web (WWW), an intranet, a cellular-telephone network, LAN,WAN, MAN, or a combination of networks, or other technology enablingcommunication between computing systems.

Electronic device 210 (FIGS. 2 and 4), computer 212 (FIGS. 2 and 4),system 900 (FIG. 9), computer system 1000 and/or data structure 1038(FIGS. 10 and 11) may include fewer components or additional components.Moreover, two or more components may be combined into a singlecomponent, and/or a position of one or more components may be changed.In some embodiments, the functionality of electronic device 210 (FIGS. 2and 4), computer 212 (FIGS. 2 and 4), system 900 (FIG. 9), computersystem 1000 and/or data structure 1038 (FIGS. 10 and 11) may beimplemented more in hardware and less in software, or less in hardwareand more in software, as is known in the art.

While the preceding embodiments illustrated the use of the analysistechnique with medical images, in other embodiments the analysistechnique is used with images in other types of applications, includingnon-medical applications. Consequently, in these other embodiments, the3D image may be of an object other than an individual or an animal,including inanimate objects, materials, products, etc.

In the preceding description, we refer to ‘some embodiments.’ Note that‘some embodiments’ describes a subset of all of the possibleembodiments, but does not always specify the same subset of embodiments.

The foregoing description is intended to enable any person skilled inthe art to make and use the disclosure, and is provided in the contextof a particular application and its requirements. Moreover, theforegoing descriptions of embodiments of the present disclosure havebeen presented for purposes of illustration and description only. Theyare not intended to be exhaustive or to limit the present disclosure tothe forms disclosed. Accordingly, many modifications and variations willbe apparent to practitioners skilled in the art, and the generalprinciples defined herein may be applied to other embodiments andapplications without departing from the spirit and scope of the presentdisclosure. Additionally, the discussion of the preceding embodiments isnot intended to limit the present disclosure. Thus, the presentdisclosure is not intended to be limited to the embodiments shown, butis to be accorded the widest scope consistent with the principles andfeatures disclosed herein.

What is claimed is:
 1. A method for facilitating detailed multi-pointannotation of an anatomical structure, the method comprising: by acomputer: iteratively performing a set of operations for a group ofmarker points, wherein, for a given marker point, the set of operationscomprises: providing, on a display, a given three-dimensional (3D) imageof a portion of an individual, wherein the given 3D image has an initialposition and an initial orientation; receiving information specifying agiven two-dimensional (2D) plane in the given 3D image, wherein thegiven 2D plane has an angular position relative to the initialorientation; translating and rotating the given 3D image so that thegiven 2D plane is presented on a reference 2D plane of the display withan orientation parallel to the reference 2D plane, wherein, prior to thetranslating and the rotating, the angular position of the given 2D planeis different from an angular position of the reference 2D plane and isdifferent from a predefined orientation of slices in the given 3D image;receiving annotation information specifying detailed annotation in thegiven 2D plane of the given marker point; and after the annotation ofthe given marker point is complete, translating and rotating the given3D image back to the initial position and the initial orientation. 2.The method of claim 1, wherein the given 3D image is different for atleast some of the marker points in the group of marker points.
 3. Themethod of claim 1, wherein the detailed annotation includes at least oneof: a size of the anatomical structure based on at least some of thegroup of annotation markers, an orientation of the anatomical structure,a direction of the anatomical structure or a location of the anatomicalstructure.
 4. The method of claim 1, wherein the annotation informationspecifying the detailed annotation is associated with an interactiontool.
 5. The method of claim 1, wherein the annotation informationspecifying the detailed annotation corresponds to haptic interactionwith the display.
 6. The method of claim 1, wherein the given 3D imageincludes a stereoscopic image.
 7. The method of claim 1, wherein thegiven 2D plane is positioned at a zero parallax position so that 3Dinformation in the given 2D plane is perceived as 2D information.
 8. Themethod of claim 1, wherein at least a pair of the marker points in thegroup of marker points describe one of: a linear distance, or a 3Dvector.
 9. The method of claim 1, wherein at least three of the markerpoints in the group of marker points describe one of: a plane, or anangle between two intersecting lines.
 10. The method of claim 1, whereinat least some of the marker points in the group of marker pointsdescribe one of: a poly-line, an open contour, a closed contour, or aclosed surface.
 11. A non-transitory computer-readable storage mediumfor use in conjunction with a computer, the computer-readable storagemedium storing program instructions, wherein, when executed by thecomputer, the program instructions cause the computer to facilitatedetailed multi-point annotation of an anatomical structure by performingone or more operations comprising: iteratively performing a set ofoperations for a group of marker points, wherein, for a given markerpoint, the set of operations comprises: providing, on a display, a giventhree-dimensional (3D) image of a portion of an individual, wherein thegiven 3D image has an initial position and an initial orientation;receiving information specifying a given two-dimensional (2D) plane inthe given 3D image, wherein the given 2D plane has an angular positionrelative to the initial orientation; translating and rotating the given3D image so that the given 2D plane is presented on a reference 2D planeof the display with an orientation parallel to the reference 2D plane,wherein, prior to the translating and the rotating, the angular positionof the given 2D plane is different from an angular position of thereference 2D plane and is different from a predefined orientation ofslices in the given 3D image; receiving annotation informationspecifying detailed annotation in the given 2D plane of the given markerpoint; and after the annotation of the given marker point is complete,translating and rotating the given 3D image back to the initial positionand the initial orientation.
 12. The computer-readable storage medium ofclaim 11, wherein the given 3D image is different for at least some ofthe marker points in the group of marker points.
 13. Thecomputer-readable storage medium of claim 11, wherein the detailedannotation includes at least one of: a size of the anatomical structurebased on at least some of the group of annotation markers, anorientation of the anatomical structure, a direction of the anatomicalstructure or a location of the anatomical structure.
 14. Thecomputer-readable storage medium of claim 11, wherein the annotationinformation specifying the detailed annotation is associated with aninteraction tool.
 15. The computer-readable storage medium of claim 11,wherein the annotation information specifying the detailed annotationcorresponds to haptic interaction with the display.
 16. Thecomputer-readable storage medium of claim 11, wherein the given 2D planeis positioned at a zero parallax position so that 3D information in thegiven 2D plane is perceived as 2D information.
 17. The computer-readablestorage medium of claim 11, wherein at least a pair of the marker pointsin the group of marker points describe one of: a linear distance, or a3D vector.
 18. The computer-readable storage medium of claim 11, whereinat least three of the marker points in the group of marker pointsdescribe one of: a plane, or an angle between two intersecting lines.19. The computer-readable storage medium of claim 11, wherein at leastsome of the marker points in the group of marker points describe one of:a poly-line, an open contour, a closed contour, or a closed surface. 20.A computer, comprising: a processor; memory storing programinstructions, wherein, when executed by the processor, the programinstructions cause the computer to facilitate detailed multi-pointannotation of an anatomical structure by performing one or moreoperations comprising: iteratively performing a set of operations for agroup of marker points, wherein, for a given marker point, the set ofoperations comprises: providing, on a display, a given three-dimensional(3D) image of a portion of an individual, wherein the given 3D image hasan initial position and an initial orientation; receiving informationspecifying a given two-dimensional (2D) plane in the given 3D image,wherein the given 2D plane has an angular position relative to theinitial orientation; translating and rotating the given 3D image so thatthe given 2D plane is presented on a reference 2D plane of the displaywith an orientation parallel to the reference 2D plane, wherein, priorto the translating and the rotating, the angular position of the given2D plane is different from an angular position of the reference 2D planeand is different from a predefined orientation of slices in the given 3Dimage; receiving annotation information specifying detailed annotationin the given 2D plane of the given marker point; and after theannotation of the given marker point is complete, translating androtating the given 3D image back to the initial position and the initialorientation.